Lightweight Design of Oil Sump Based on NSGA-Ⅱ Algorithm

GUO Wenqiang, GUO Yongzheng, YAN Xianghai, XU Liyou

Vehicle Engine ›› 2026, Vol. 0 ›› Issue (1) : 57-63.

Vehicle Engine ›› 2026, Vol. 0 ›› Issue (1) : 57-63.

Lightweight Design of Oil Sump Based on NSGA-Ⅱ Algorithm

  • GUO Wenqiang,GUO Yongzheng,YAN Xianghai,XU Liyou
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Abstract

Traditional oil sump designs usually adopt metallic materials. To give full play to the performance of oil sump, a lightweight design of oil sump was proposed based on NSGA-Ⅱ algorithm. A finite element model of oil sump was first established, and a free modal analysis was carried out. Modal tests were conducted on the original steel oil sump, and the first six modal frequencies and mode shapes were compared and analyzed to verify the accuracy of finite element model. Based on the equal stiffness approximation theory, seven typical wall thicknesses of the aluminum alloy oil sump were selected as design variables, and the first-order natural frequency and mass of the oil sump were set as the optimization objectives. The optimal Latin hypercube experimental design method was applied to analyze the contribution of design variables. Finally, based on the Isight parameter optimization software, RBF and RSM approximation models between the optimization objectives and influencing factors were constructed respectively. After analysis and comparison, RSM approximation model was selected for subsequent optimization. A global optimization was performed within the surrogate model based on NSGA-Ⅱ algorithm, and a set of predicted values for the optimal combination of first-order modal frequency and mass of the oil sump were obtained. The research results show that the predicted values of RSM approximation model are basically consistent with the simulation test results. After optimization, the first-order modal frequency increases by 22.9%, and the mass reduces by 37.6%.

Key words

oil sump / equal stiffness replacement / approximation model / multi-objective optimization / lightweight design

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GUO Wenqiang, GUO Yongzheng, YAN Xianghai, XU Liyou. Lightweight Design of Oil Sump Based on NSGA-Ⅱ Algorithm[J]. Vehicle Engine. 2026, 0(1): 57-63

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